Fairness

Fair Text-Attributed Graph Representation Learning EMNLP 2025 Fair Text Classification via Transferable Representations JMLR 2025 Fair Text-to-Image Diffusion via Fair Mapping AAAI 2025 FairTP: A Prolonged Fairness Framework for Traffic Prediction AAAI 2025 Fair Training with Zero Inputs AAAI 2025 FaithEval: Can Your Language Model Stay Faithful to Context, Even If "The Moon is Made of Marshmallows" ICLR 2025 FALCON: Fair Face Recognition via Local Optimal Feature Normalization WACV 2025 FALCON: Fairness Learning via Contrastive Attention Approach to Continual Semantic Scene Understanding CVPR 2025 FAP-CD: Fairness-Driven Age-Friendly Community Planning via Conditional Diffusion Generation AAAI 2025 Faux Polyglot: A Study on Information Disparity in Multilingual Large Language Models NAACL 2025 Feature Responsiveness Scores: Model-Agnostic Explanations for Recourse ICLR 2025 FedAA: A Reinforcement Learning Perspective on Adaptive Aggregation for Fair and Robust Federated Learning AAAI 2025 FedBG: Proactively Mitigating Bias in Cross-Domain Graph Federated Learning Using Background Data IJCAI 2025 Federated Domain Generalization with Decision Insight Matrix IJCAI 2025 Federated Learning at the Forefront of Fairness: A Multifaceted Perspective IJCAI 2025 F-Fidelity: A Robust Framework for Faithfulness Evaluation of Explainable AI ICLR 2025 Filipino Benchmarks for Measuring Sexist and Homophobic Bias in Multilingual Language Models from Southeast Asia COLING 2025 Fine-Grained Erasure in Text-to-Image Diffusion-based Foundation Models CVPR 2025 Fine-Tuned LLMs are “Time Capsules” for Tracking Societal Bias Through Books NAACL 2025 Fine-tuning LLMs with Cross-Attention-based Weight Decay for Bias Mitigation EMNLP 2025 Fine-Tuning on Noisy Instructions: Effects on Generalization and Performance IJCNLP 2025 First-Person Fairness in Chatbots ICLR 2025 FLEX: A Benchmark for Evaluating Robustness of Fairness in Large Language Models NAACL 2025 Fooling the LVLM Judges: Visual Biases in LVLM-Based Evaluation EMNLP 2025 Fortifying Federated Learning Towards Trustworthiness via Auditable Data Valuation and Verifiable Client Contribution CVPR 2025